Abstract:
:ncRNAs are key genes in many human diseases including cancer and viral infection, as well as providing critical functions in pathogenic organisms such as fungi, bacteria, viruses, and protists. Until now the identification and characterization of ncRNAs associated with disease has been slow or inaccurate requiring many years of testing to understand complicated RNA and protein gene relationships. High-throughput sequencing now offers the opportunity to characterize miRNAs, siRNAs, small nucleolar RNAs (snoRNAs), and long ncRNAs on a genomic scale, making it faster and easier to clarify how these ncRNAs contribute to the disease state. However, this technology is still relatively new, and ncRNA discovery is not an application of high priority for streamlined bioinformatics. Here we summarize background concepts and practical approaches for ncRNA analysis using high-throughput sequencing, and how it relates to understanding human disease. As a case study, we focus on the parasitic protists Giardia lamblia and Trichomonas vaginalis, where large evolutionary distance has meant difficulties in comparing ncRNAs with those from model eukaryotes. A combination of biological, computational, and sequencing approaches has enabled easier classification of ncRNA classes such as snoRNAs, but has also aided the identification of novel classes. It is hoped that a higher level of understanding of ncRNA expression and interaction may aid in the development of less harsh treatment for protist-based diseases.
journal_name
Front Genetjournal_title
Frontiers in geneticsauthors
Collins LJdoi
10.3389/fgene.2011.00096subject
Has Abstractpub_date
2011-12-27 00:00:00pages
96issn
1664-8021journal_volume
2pub_type
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pub_type: 杂志文章
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journal_title:Frontiers in genetics
pub_type: 杂志文章
doi:10.3389/fgene.2012.00217
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pub_type: 杂志文章,评审
doi:10.3389/fgene.2019.00031
更新日期:2019-02-04 00:00:00
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pub_type: 杂志文章
doi:10.3389/fgene.2019.00489
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doi:10.3389/fgene.2020.00810
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pub_type: 杂志文章
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